over 1 year ago
Base Salary
$160k - $240k/yr
Responsibilities
- Lead research initiatives addressing complex perception problems in unstructured home environments.
- Architect and develop computer vision, neural network, and 3D geometry-based vision systems for real-time robotic perception.
- Build scalable machine learning infrastructure for large-scale training and reproducible experimentation.
- Improve algorithm accuracy, speed, and robustness through analysis and iteration.
- Deploy ML pipelines to resource-constrained edge devices without performance degradation.
- Lead technical efforts toward Level 5 autonomy in consumer robotics.
- Mentor junior engineers and collaborate with Hardware, Electrical, and Systems teams.
- Contribute to technical strategy and roadmap planning for perception capabilities.
Requirements
- Advanced expertise in computer vision and machine learning, with deep specialization in 3D perception, multi-class object detection, SLAM, and robotics controls.
- Proven record of shipping production-grade research for real-world applications with measurable impact.
- Expert-level proficiency in Rust or C++ and Python, with extensive experience in PyTorch and modern ML frameworks.
- Ability to architect scalable, maintainable codebases and establish engineering best practices.
- Experience leading technical projects and mentoring engineering teams.
- Strong publication record or equivalent demonstration of technical leadership in relevant domains.
- Master’s degree in computer science, engineering, electrical engineering, physics, or a related field.
- At least 4 years of experience in applied computer vision, machine learning, or robotics.
- Graduate degree work is a plus.
Benefits
- Base compensation is $160,000–$240,000.
- Equity is available through the company’s discretionary equity program.
- Comprehensive medical, dental, and vision coverage is provided.
- Access to a 401(k) plan is provided.
Categories
ML EngineeringRobotics
About Matic
Matic builds autonomous home robots, with a flagship floor-cleaning robot that uses cameras, on-device AI, and 3D mapping to navigate and clean real homes. The privately held company sells consumer robotics hardware and companion software, including a mobile app for setup and support. Founded in 2017 and headquartered in Mountain View, California, it raised a Series A in 2023.